Settlement prediction of the rock-socketed piles through a new technique based on gene expression programming

2016 ◽  
Vol 29 (11) ◽  
pp. 1115-1125 ◽  
Author(s):  
Danial Jahed Armaghani ◽  
Roohollah Shirani Faradonbeh ◽  
Hossein Rezaei ◽  
Ahmad Safuan A. Rashid ◽  
Hassan Bakhshandeh Amnieh
Keyword(s):  
Gene Expression ◽  
Gene Expression Programming ◽  
New Technique ◽  
Settlement Prediction ◽  
A New Technique

Uniaxial compressive strength prediction through a new technique based on gene expression programming

2017 ◽  
Vol 30 (11) ◽  
pp. 3523-3532 ◽  
Author(s):  
Danial Jahed Armaghani ◽  
Vali Safari ◽  
Ahmad Fahimifar ◽  
Mohd For Mohd Amin ◽  
Masoud Monjezi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Compressive Strength ◽  
Uniaxial Compressive Strength ◽  
Gene Expression Programming ◽  
New Technique ◽  
Strength Prediction ◽  
A New Technique

Gene Expression Programming

2017 ◽  
pp. 269-292 ◽  
Author(s):  
Baddrud Zaman Laskar ◽  
Swanirbhar Majumder
Keyword(s):  
Gene Expression ◽  
Genetic Algorithm ◽  
Natural Selection ◽  
Genetic Programming ◽  
Soft Computing ◽  
Gene Expression Programming ◽  
Research Work ◽  
Genetic Operators ◽  
A New Technique ◽  
Work Done

Gene expression programming (GEP) introduced by Candida Ferreira is a descendant of genetic algorithm (GA) and genetic programming (GP). It takes the advantage of both the optimization and search technique based on genetics and natural selection as GA and its programmatic Darwinian counterpart GP. It is gaining popularity because; it has to some extent eradicated the ‘cons' of both while keeping in the ‘pros'. It is still a new technique not much explored since its introduction in 2001. In this chapter both GA and GP is first discussed followed by the elaborate discussion of GEP. This is followed up by the discussion on research work done is different fields using GEP as a tool followed up by GEP architectures. Finally, here GEP has been used for detection of age from facial features as a soft computing based optimization problem using genetic operators.

Gene Expression Programming

2021 ◽  
pp. 427-446
Author(s):  
Baddrud Zaman Laskar ◽  
Swanirbhar Majumder
Keyword(s):  
Gene Expression ◽  
Genetic Algorithm ◽  
Natural Selection ◽  
Genetic Programming ◽  
Soft Computing ◽  
Gene Expression Programming ◽  
Research Work ◽  
Genetic Operators ◽  
A New Technique ◽  
Work Done

Gene expression programming (GEP) introduced by Candida Ferreira is a descendant of genetic algorithm (GA) and genetic programming (GP). It takes the advantage of both the optimization and search technique based on genetics and natural selection as GA and its programmatic Darwinian counterpart GP. It is gaining popularity because; it has to some extent eradicated the ‘cons' of both while keeping in the ‘pros'. It is still a new technique not much explored since its introduction in 2001. In this chapter both GA and GP is first discussed followed by the elaborate discussion of GEP. This is followed up by the discussion on research work done is different fields using GEP as a tool followed up by GEP architectures. Finally, here GEP has been used for detection of age from facial features as a soft computing based optimization problem using genetic operators.

Sign in / Sign up

Export Citation Format

Share Document